Differential abundance analysis

ChIP-seq peak-calling and differential analysis pipeline.

A CWL-based pipeline for processing ChIP-Seq data (FASTQ format) and performing:

• Peak calling
• Consensus peak count table generation
• Detection of super-enhancer regions
• Differential binding analysis

On the respective GitHub folder are available:

• The CWL wrappers for the workflow
• A pre-configured YAML template, based on validation analysis of publicly available HTS data
• Tables of metadata (EZH2_metadata_CLL.csv and H3K27me3_metadata_CLL.csv), based on the same validation ...

GRAVI: Gene Regulatory Analysis using Variable Inputs

This is a snakemake workflow for:

1. Performing sample QC
2. Calling ChIP peaks
3. Performing Differential Binding Analysis
4. Comparing results across ChIP targets

The minimum required input is one ChIP target with two conditions.

Full documentation can be found here

Snakemake Implementation

The basic workflow is written snakemake, requiring at least v7.7, and can be called using the following ...

ChIP-Seq pipeline

Here we provide the tools to perform paired end or single read ChIP-Seq analysis including raw data quality control, read mapping, peak calling, differential binding analysis and functional annotation. As input files you may use either zipped fastq-files (.fastq.gz) or mapped read data (.bam files). In case of paired end reads, corresponding fastq files should be named using .R1.fastq.gz and .R2.fastq.gz suffixes.

Pipeline Workflow

All analysis steps are illustrated in ...